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Spletno ogrodje za vizualizacijo volumetričnih podatkov z možnostjo oddaljenega sodelovanja
ID Lavrič, Primož (Author), ID Marolt, Matija (Mentor) More about this mentor... This link opens in a new window

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Abstract
V delu predstavimo spletno vizualizacijsko ogrodje Med3D, razvito v sklopu te diplomske naloge, ki se primarno osredotoča na vizualizacije 3D mrežnih in volumetričnih medicinskih podatkov. Razvito ogrodje omogoča izris in interakcijo s tridimenzionalnimi mrežnimi podatki, posredno upodabljanje volumetričnih podatkov s pomočjo računsko učinkovitega algoritma Marching cubes in oddaljeno sodelovanje med uporabniki. Predstavimo implementacije različnih delov in funkcionalnosti ogrodja s poudarkom na realizaciji upodabljanja, uporabniškega vmesnika in oddaljenega sodelovanja. V sklopu upodabljanja opišemo implementirane funkcionalnosti razvitega upodobljevalnika, uporabljene pristope posrednega upodabljanja, neposredno upodabljanje in združevanja različnih tipov upodobitve s pomočjo odloženega upodabljanja. Podamo tudi performančno analizo mrežnega upodabljanja ter pretvorbo volumetričnih podatkov v mrežne, kjer testiramo različne implementacije (Java, C++, Javascript in ASM.js) algoritma Marching cubes. Predstavimo uporabniški vmesnik ogrodja s poudarkom na anotacijah, ki jih je mogoče pripeti na mrežni model. V sklopu oddaljenega sodelovanja opišemo realnočasovno delitev scene, klepet, omogočen znotraj ogrodja, in delitev anotacij med uporabniki. Podamo tudi performančno analizo oddaljenega sodelovanja, kjer smo analizirali odzivnost delitve scene.

Language:Slovenian
Keywords:vizualizacija medicinskih podatkov, spletno vizualizacijsko ogrodje, Marching cubes, oddaljeno sodelovanje
Work type:Bachelor thesis/paper (mb11)
Organization:FRI - Faculty of computer and information science
Year:2016
Publication date in RUL:09.09.2016
Views:1053
Downloads:430
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Secondary language

Language:English
Title:A collaborative web based framework for visualisation of volumetric data
Abstract:
In this paper, we present a web based visualization framework that was developed as part of this thesis and primarily focuses on the visualization of a medical 3D mesh and volumetric data. This framework offers visualization capabilities like 3D mesh rendering, scene navigation, indirect volume rendering via volume to mesh conversion, implemented with the computationally efficient Marching cubes algorithm, and online collaboration capability. We describe the implementations of different parts and functionalities of the framework, focusing on the implemented renderer, indirect volume rendering approaches, direct rendering and merging different types of rendering via deferred rendering. We present the performance evaluation of mesh rendering and four different implementations (Java, C++, Javascript and ASM.js) of volume to mesh conversion with the Marching cubes algorithm. We present the framework's user interface, focusing on annotations that can be pinned to the mesh. As part of remote rendering, we describe real-time scene sharing, implementation of chat and annotation sharing. We present the performance evaluation of remote collaboration where we tested the scene sharing responsiveness.

Keywords:visualization of medical data, web based visualization framework, Marching cubes, remote collaboration

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